MRI Software Bugs Could Upend Years Of Research

An anonymous reader shares a report on The Register: A whole pile of “this is how your brain looks like” MRI-based science has been invalidated because someone finally got around to checking the data. The problem is simple: to get from a high-resolution magnetic resonance imaging scan of the brain to a scientific conclusion, the brain is divided into tiny “voxels”. Software, rather than humans, then scans the voxels looking for clusters. When you see a claim that “scientists know when you’re about to move an arm: these images prove it”, they’re interpreting what they’re told by the statistical software. Now, boffins from Sweden and the UK have cast doubt on the quality of the science, because of problems with the statistical software: it produces way too many false positives. In this paper at PNAS, they write: “the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. These results question the validity of some 40,000 fMRI studies and may have a large impact on the interpretation of neuroimaging results.”